Peut-on former les enseignant·e·s en un rien de temps ?

National audienceIn France, we recently realized that it is urgent to stop waiting to start teaching our girls and boys bases of computer science, to master digital technology, and the Digital Science and Technology (SNT) topic is now offered in Year 11 (classe de 2nd), starting at the 2019 school year. All highschool students are concerned. But how to train teachers? It is a challenge and it should be done in almost no time. By using quantitative data about the Class'Code training program and putting the methodological elements developed and experimented in perspective, we report here what did work and, more interesting, where we stumbled in order to set the limits of the approach and show the importance of a greater place regarding these formations.En France, on a récemment compris qu'il est urgent de ne plus attendre pour initier nos filles et nos garçons à l'informatique pour maîtriser le numérique : l'enseignement de Sciences Numériques et Technologie (SNT) va, en classe de seconde à la rentrée 2019, concerner tou·te·s les lycéen·ne·s. Mais comment former les enseignant·e·s ? C'est un défi qu'il faudrait relever en peu de temps. En utilisant des données quantitatives sur les formations Class´Code et en prenant du recul sur les éléments méthodologiques développés et expérimentés, nous faisons ici un retour d'expérience sur ce qui a pu marcher et, plus intéressant encore, là où nous avons buté afin de poser les limites de l'approche et montrer la nécessité d'une place plus grande pour ce type de formations

Understanding Intelligently Artificial Intelligence : a citizens' open formation

International audienceOur whole society is and will be deeply impacted by digital science and this takes a new qualitative and quantitative turn with what is named artificial intelligence (AI). We must allow everyone to master, thus understand how all this works. This means computational thinking discovery and machine learning initiation. Directly inspired by the Finnish initiative to train 1% of its population on these subjects and after our success in providing a hybrid formation on computational thinking for teachers and citizens not familiar with computer science where more 45000 persons have been reached, yielding a satisfaction level higher than 90%, we have built and now operate a citizen training in AI in the broad sense, intended to a large public beyond the school domain, with the goal of giving rise to an ubiquitary citizen university in digital science and cultur

Peut-on former les enseignant·e·s en un rien de temps ?

National audienceIn France, we recently realized that it is urgent to stop waiting to start teaching our girls and boys bases of computer science, to master digital technology, and the Digital Science and Technology (SNT) topic is now offered in Year 11 (classe de 2nd), starting at the 2019 school year. All highschool students are concerned. But how to train teachers? It is a challenge and it should be done in almost no time. By using quantitative data about the Class'Code training program and putting the methodological elements developed and experimented in perspective, we report here what did work and, more interesting, where we stumbled in order to set the limits of the approach and show the importance of a greater place regarding these formations.En France, on a récemment compris qu'il est urgent de ne plus attendre pour initier nos filles et nos garçons à l'informatique pour maîtriser le numérique : l'enseignement de Sciences Numériques et Technologie (SNT) va, en classe de seconde à la rentrée 2019, concerner tou·te·s les lycéen·ne·s. Mais comment former les enseignant·e·s ? C'est un défi qu'il faudrait relever en peu de temps. En utilisant des données quantitatives sur les formations Class´Code et en prenant du recul sur les éléments méthodologiques développés et expérimentés, nous faisons ici un retour d'expérience sur ce qui a pu marcher et, plus intéressant encore, là où nous avons buté afin de poser les limites de l'approche et montrer la nécessité d'une place plus grande pour ce type de formations

Peut-on former les enseignant·e·s en un rien de temps ?

National audienceIn France, we recently realized that it is urgent to stop waiting to start teaching our girls and boys bases of computer science, to master digital technology, and the Digital Science and Technology (SNT) topic is now offered in Year 11 (classe de 2nd), starting at the 2019 school year. All highschool students are concerned. But how to train teachers? It is a challenge and it should be done in almost no time. By using quantitative data about the Class'Code training program and putting the methodological elements developed and experimented in perspective, we report here what did work and, more interesting, where we stumbled in order to set the limits of the approach and show the importance of a greater place regarding these formations.En France, on a récemment compris qu'il est urgent de ne plus attendre pour initier nos filles et nos garçons à l'informatique pour maîtriser le numérique : l'enseignement de Sciences Numériques et Technologie (SNT) va, en classe de seconde à la rentrée 2019, concerner tou·te·s les lycéen·ne·s. Mais comment former les enseignant·e·s ? C'est un défi qu'il faudrait relever en peu de temps. En utilisant des données quantitatives sur les formations Class´Code et en prenant du recul sur les éléments méthodologiques développés et expérimentés, nous faisons ici un retour d'expérience sur ce qui a pu marcher et, plus intéressant encore, là où nous avons buté afin de poser les limites de l'approche et montrer la nécessité d'une place plus grande pour ce type de formations

Understanding Intelligently Artificial Intelligence : a citizens' open formation

International audienceOur whole society is and will be deeply impacted by digital science and this takes a new qualitative and quantitative turn with what is named artificial intelligence (AI). We must allow everyone to master, thus understand how all this works. This means computational thinking discovery and machine learning initiation. Directly inspired by the Finnish initiative to train 1% of its population on these subjects and after our success in providing a hybrid formation on computational thinking for teachers and citizens not familiar with computer science where more 45000 persons have been reached, yielding a satisfaction level higher than 90%, we have built and now operate a citizen training in AI in the broad sense, intended to a large public beyond the school domain, with the goal of giving rise to an ubiquitary citizen university in digital science and cultur